learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	169	1.0933	0.4119	0.3048	0.4485	0.4119
No log	2.0	338	0.9162	0.6516	0.5873	0.7319	0.6516
0.9908	3.0	507	0.7124	0.7759	0.7617	0.8035	0.7759
0.9908	4.0	676	0.5941	0.9275	0.9270	0.9291	0.9275
0.9908	5.0	845	0.5042	0.9611	0.9610	0.9619	0.9611
0.5708	6.0	1014	0.3974	0.9832	0.9831	0.9833	0.9832
0.5708	7.0	1183	0.3191	0.9922	0.9922	0.9923	0.9922
0.5708	8.0	1352	0.2709	0.9922	0.9922	0.9923	0.9922

amj808/casino-search-query-intent-classifier-quantized

casino-search-query-intent-classifier